Evidence map›Paper›PMID 37326344›Full record

ArticleTherapeutic advances in respiratory disease

A comparative study on the value of lower airway exhaled nitric oxide combined with small airway parameters for diagnosing cough-variant asthma.

Haodong Bai, Cuiqin Shi, Sue Yu, Siwan Wen, Bingxian Sha, Xianghuai Xu, Li Yu

Abstract read
In one paragraph

Article in Therapeutic advances in respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Differential Clinical Significance of FENOJournal of asthma and allergy · 2024
    Article
  10. Review
  11. Observational
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Haodong BaiDepartment of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Cuiqin ShiDepartment of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Sue YuDepartment of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Siwan WenDepartment of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Bingxian ShaDepartment of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Xianghuai XuDepartment of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, Shanghai 200065, China.ORCID 0000-0002-8713-5332
Li YuDepartment of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, Shanghai 200065, China.ORCID 0000-0002-1054-017X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe diagnosis of cough-variant asthma (CVA) is based on bronchial provocation test, which is challenging to be conducted. Most CVA patients have type 2 airway inflammation and small airway dysfunction. FeNO

objectiveThis study aimed to explore and compare the value of lower airway exhaled nitric oxide (FeNO

methodsChronic cough patients who attended the clinic from September 2021 to August 2022 were enrolled and divided into CVA group (

resultsFeNO

conclusionFeNO

Indexed as

AsthmaCoughBreath TestsChronic DiseaseExhalationHumansInflammationNitric OxideNitric Oxidechronic coughcough-variant asthmaFeNO200FeNO50small airway

Identifiers

PMID37326344
PMCPMC10278400

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.